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Jason Stephenson Podcasts

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Awaken with Jason Stephenson in this uplifting podcast designed to give you a tiny daily kick of inspiration. In just a few minutes, Jason blends humor, wisdom, and heartfelt stories to help you start your mornings with clarity and confidence. Some days it’s a gentle reset, other days it’s a playful nudge or a soulful reminder that you’re already enough. Step into your day with Jason Stephenson by your side — and discover how even the smallest daily kick can create big change
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Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, de ...
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When life feels overwhelming, have you ever paused and asked yourself: What would love say right now? In this episode of Tiny Daily Kick, Jason Stephenson explores how choosing love over fear can shift your perspective, calm your mind, and guide your actions. You’ll hear why fear so often hijacks our decisions, how to recognise its voice, and what …
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What do we do with old memories when friendships end — sometimes painfully, sometimes simply because life changes? In this episode, Jason explores how to hold onto the joy of the past without clinging to people who no longer belong in your present. You’ll hear reflections on lost friendships, the lessons they leave behind, and a gentle reminder tha…
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Do you ever catch yourself endlessly scrolling, even when you know it’s not making you happy? In this episode of Tiny Daily Kick, Jason Stephenson breaks down the psychology behind the social media spell — why it hooks us, why it’s not your fault, and how you can break free. You’ll learn how platforms are designed to keep you glued, the hidden cost…
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In this episode, Illia Polosukhin, a co-author of the seminal "Attention Is All You Need" paper and co-founder of Near AI, joins us to discuss his vision for building private, decentralized, and user-owned AI. Illia shares his unique journey from developing the Transformer architecture at Google to building the NEAR Protocol blockchain to solve glo…
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Do you find yourself holding on too tightly, trying to control every little thing — from how people respond to you, to whether the day goes “just right”? In this episode of Tiny Daily Kick, Jason Stephenson shares a simple truth: the tighter we grip, the less peace we feel. You’ll hear why letting go isn’t about giving up — it’s about trusting, sof…
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☕ Support the Tiny Daily Kick Podcast: Buy me a coffee & support the show Silence isn’t empty. It’s full of wisdom, calm, and clarity. In this episode of Tiny Daily Kick, Jason explores the gift of silence—why we often resist it, and how even a few minutes of quiet can reset the mind and heart. You’ll hear: Why silence can feel uncomfortable at fir…
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Today, we’re joined by Oliver Wang, principal scientist at Google DeepMind and tech lead for Gemini 2.5 Flash Image—better known by its code name, “Nano Banana.” We dive into the development and capabilities of this newly released frontier vision-language model, beginning with the broader shift from specialized image generators to general-purpose m…
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Sometimes what feels like failure is really the seed of something greater. ☕ Love these daily boosts? You can support the podcast (kind of like buying me a coffee!) right here: https://www.buzzsprout.com/2533531/support In this episode, I share the surprising beginnings of Relax Me Online — from early struggles and walking away, to an unexpected Yo…
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Negative thoughts can play on repeat like an annoying song you can’t shake. In this episode, Jason explores why the mind clings to them, how to loosen their grip with humour and perspective, and shares a simple challenge to stop feeding the loop. Light, real, and practical — this is your invitation to let those uninvited guests finally leave. Send …
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When life knocks you down, it can feel like the end of the story. But what if those stumbles are the very stones that build your path forward? In this episode, Jason shares why setbacks sting, how to reframe them, and practical ways to turn them into growth. With honesty, humour, and a glimpse into his own exercise and creative journeys, this one’s…
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Big goals get the spotlight, but it’s the small, daily wins that carry us forward. Jason unpacks why we often dismiss them, how to start noticing them, and why celebrating tiny victories creates unstoppable momentum. Plus, a personal reflection on showing up for this very podcast as one of his own small wins. Send us a text Support the show Join ou…
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Today, we're joined by Aditi Raghunathan, assistant professor at Carnegie Mellon University, to discuss the limitations of LLMs and how we can build more adaptable and creative models. We dig into her ICML 2025 Outstanding Paper Award winner, “Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction,” which ex…
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As a kid, my stage was an old milk crate in my dad’s garage, my microphone a paint-splattered tool from his workshop. I sang to thousands of imaginary fans, and my parents quietly let me dream. Looking back, I see the gift in that freedom: the chance to believe before anyone else did. Today’s kick? You don’t need a crowd to validate your dream — yo…
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Today’s kick is: Building self-confidence. Listener Yrma inspired this one — and Jason takes you on a light, encouraging journey to uncover where confidence really comes from. Expect a mix of insight, humour, and practical exercises (yes, including some silly mouth sounds) that will help you feel stronger in your own voice. Send us a text Support t…
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Today, we're joined by Animesh Koratana, founder and CEO of PlayerZero to discuss his team’s approach to making agentic and AI-assisted coding tools production-ready at scale. Animesh explains how rapid advances in AI-assisted coding have created an “asymmetry” where the speed of code output outpaces the maturity of processes for maintenance and su…
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Option 3 – Practical & Uplifting Today’s kick is: Become your own cheerleader. In this light but powerful boost, Jason shows you how to lift yourself up when no one else is clapping. Learn why giving yourself credit is essential for growth — and how to make it a daily habit. Send us a text Support the show Join our "Awaken with Jason" Facebook page…
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Today’s kick is: I am worthy of a good day. In this episode, Jason reminds you that worthiness isn’t something you have to earn — it’s already within you. With a little humour and gentle guidance, you’ll learn how to release the habit of expecting the worst and open yourself up to joy, ease, and possibility instead. Send us a text Support the show …
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Energy isn’t something we wait for — it’s something we create. From laughter to a simple Morning Zing drink, Jason shows how small choices can spark big energy shifts. Send us a text Support the show Join our "Awaken with Jason" Facebook page. For our Guided Sleep Meditations, see our Youtube channel Thank you to my supporters: | Barb Smith | VaDon…
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In this episode, Christian Szegedy, Chief Scientist at Morph Labs, joins us to discuss how the application of formal mathematics and reasoning enables the creation of more robust and safer AI systems. A pioneer behind concepts like the Inception architecture and adversarial examples, Christian now focuses on autoformalization—the AI-driven process …
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We often wait to feel inspired before we act — but the secret is, mood follows movement. In this episode, Jason shares why taking even the tiniest step can shift your energy and set your whole day in motion. Send us a text Support the show Join our "Awaken with Jason" Facebook page. For our Guided Sleep Meditations, see our Youtube channel Thank yo…
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Hello, I’m Jason Stephenson — creator of guided meditations for over a decade — and I’m so glad you’re here for the very first episode of Tiny Daily Kick. This new podcast is a soul-level offering to help you start your day with intention, imagination, and inner power. In this opening episode, I share the inspiration behind the series, a personal s…
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Today, we're joined by Prince Canuma, an ML engineer and open-source developer focused on optimizing AI inference on Apple Silicon devices. Prince shares his journey to becoming one of the most prolific contributors to Apple’s MLX ecosystem, having published over 1,000 models and libraries that make open, multimodal AI accessible and performant on …
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Today, we're joined by Jack Parker-Holder and Shlomi Fruchter, researchers at Google DeepMind, to discuss the recent release of Genie 3, a model capable of generating “playable” virtual worlds. We dig into the evolution of the Genie project and review the current model’s scaled-up capabilities, including creating real-time, interactive, and high-re…
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In this episode, we're joined by Lin Qiao, CEO and co-founder of Fireworks AI. Drawing on key lessons from her time building PyTorch, Lin shares her perspective on the modern generative AI development lifecycle. She explains why aligning training and inference systems is essential for creating a seamless, fast-moving production pipeline, preventing…
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In this episode, Filip Kozera, founder and CEO of Wordware, explains his approach to building agentic workflows where natural language serves as the new programming interface. Filip breaks down the architecture of these "background agents," explaining how they use a reflection loop and tool-calling to execute complex tasks. He discusses the current…
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In this episode, Jared Quincy Davis, founder and CEO at Foundry, introduces the concept of "compound AI systems," which allows users to create powerful, efficient applications by composing multiple, often diverse, AI models and services. We discuss how these "networks of networks" can push the Pareto frontier, delivering results that are simultaneo…
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In this episode, Kwindla Kramer, co-founder and CEO of Daily and creator of the open source Pipecat framework, joins us to discuss the architecture and challenges of building real-time, production-ready conversational voice AI. Kwin breaks down the full stack for voice agents—from the models and APIs to the critical orchestration layer that manages…
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Today, we're joined by Fatih Porikli, senior director of technology at Qualcomm AI Research for an in-depth look at several of Qualcomm's accepted papers and demos featured at this year’s CVPR conference. We start with “DiMA: Distilling Multi-modal Large Language Models for Autonomous Driving,” an end-to-end autonomous driving system that incorpora…
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Today, we're joined by Vijoy Pandey, SVP and general manager at Outshift by Cisco to discuss a foundational challenge for the enterprise: how do we make specialized agents from different vendors collaborate effectively? As companies like Salesforce, Workday, and Microsoft all develop their own agentic systems, integrating them creates a complex, pr…
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Today, we're joined by Ben Wellington, deputy head of feature forecasting at Two Sigma. We dig into the team’s end-to-end approach to leveraging AI in equities feature forecasting, covering how they identify and create features, collect and quantify historical data, and build predictive models to forecast market behavior and asset prices for tradin…
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Today, we're joined by Jason Corso, co-founder of Voxel51 and professor at the University of Michigan, to explore automated labeling in computer vision. Jason introduces FiftyOne, an open-source platform for visualizing datasets, analyzing models, and improving data quality. We focus on Voxel51’s recent research report, “Zero-shot auto-labeling riv…
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Today, we're joined by Charles Martin, founder of Calculation Consulting, to discuss Weight Watcher, an open-source tool for analyzing and improving Deep Neural Networks (DNNs) based on principles from theoretical physics. We explore the foundations of the Heavy-Tailed Self-Regularization (HTSR) theory that underpins it, which combines random matri…
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Today, I’m excited to share a special crossover edition of the podcast recorded live from Google I/O 2025! In this episode, I join Shawn Wang aka Swyx from the Latent Space Podcast, to interview Logan Kilpatrick and Shrestha Basu Mallick, PMs at Google DeepMind working on AI Studio and the Gemini API, along with Kwindla Kramer, CEO of Daily and cre…
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Today, we're joined by Sebastian Gehrmann, head of responsible AI in the Office of the CTO at Bloomberg, to discuss AI safety in retrieval-augmented generation (RAG) systems and generative AI in high-stakes domains like financial services. We explore how RAG, contrary to some expectations, can inadvertently degrade model safety. We cover examples o…
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Today, we're joined by Mahesh Sathiamoorthy, co-founder and CEO of Bespoke Labs, to discuss how reinforcement learning (RL) is reshaping the way we build custom agents on top of foundation models. Mahesh highlights the crucial role of data curation, evaluation, and error analysis in model performance, and explains why RL offers a more robust altern…
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Today, we're joined by Josh Tobin, member of technical staff at OpenAI, to discuss the company’s approach to building AI agents. We cover OpenAI's three agentic offerings—Deep Research for comprehensive web research, Operator for website navigation, and Codex CLI for local code execution. We explore OpenAI’s shift from simple LLM workflows to reaso…
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Today, we're joined by Nidhi Rastogi, assistant professor at Rochester Institute of Technology to discuss Cyber Threat Intelligence (CTI), focusing on her recent project CTIBench—a benchmark for evaluating LLMs on real-world CTI tasks. Nidhi explains the evolution of AI in cybersecurity, from rule-based systems to LLMs that accelerate analysis by p…
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In this episode, Kelly Hong, a researcher at Chroma, joins us to discuss "Generative Benchmarking," a novel approach to evaluating retrieval systems, like RAG applications, using synthetic data. Kelly explains how traditional benchmarks like MTEB fail to represent real-world query patterns and how embedding models that perform well on public benchm…
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In this episode, Emmanuel Ameisen, a research engineer at Anthropic, returns to discuss two recent papers: "Circuit Tracing: Revealing Language Model Computational Graphs" and "On the Biology of a Large Language Model." Emmanuel explains how his team developed mechanistic interpretability methods to understand the internal workings of Claude by rep…
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Today, we're joined by Maohao Shen, PhD student at MIT to discuss his paper, “Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search.” We dig into how Satori leverages reinforcement learning to improve language model reasoning—enabling model self-reflection, self-correction, and exploration of a…
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Today, we're joined by Drago Anguelov, head of AI foundations at Waymo, for a deep dive into the role of foundation models in autonomous driving. Drago shares how Waymo is leveraging large-scale machine learning, including vision-language models and generative AI techniques to improve perception, planning, and simulation for its self-driving vehicl…
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Today, we're joined by Julie Kallini, PhD student at Stanford University to discuss her recent papers, “MrT5: Dynamic Token Merging for Efficient Byte-level Language Models” and “Mission: Impossible Language Models.” For the MrT5 paper, we explore the importance and failings of tokenization in large language models—including inefficient compression…
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Today, we're joined by Jonas Geiping, research group leader at Ellis Institute and the Max Planck Institute for Intelligent Systems to discuss his recent paper, “Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach.” This paper proposes a novel language model architecture which uses recurrent depth to enable “thinking in l…
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Today, we're joined by Chengzu Li, PhD student at the University of Cambridge to discuss his recent paper, “Imagine while Reasoning in Space: Multimodal Visualization-of-Thought.” We explore the motivations behind MVoT, its connection to prior work like TopViewRS, and its relation to cognitive science principles such as dual coding theory. We dig i…
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Today, we're joined by Niklas Muennighoff, a PhD student at Stanford University, to discuss his paper, “S1: Simple Test-Time Scaling.” We explore the motivations behind S1, as well as how it compares to OpenAI's O1 and DeepSeek's R1 models. We dig into the different approaches to test-time scaling, including parallel and sequential scaling, as well…
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Today, we're joined by Ron Diamant, chief architect for Trainium at Amazon Web Services, to discuss hardware acceleration for generative AI and the design and role of the recently released Trainium2 chip. We explore the architectural differences between Trainium and GPUs, highlighting its systolic array-based compute design, and how it balances per…
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Today, we're joined by Sergey Levine, associate professor at UC Berkeley and co-founder of Physical Intelligence, to discuss π0 (pi-zero), a general-purpose robotic foundation model. We dig into the model architecture, which pairs a vision language model (VLM) with a diffusion-based action expert, and the model training "recipe," emphasizing the ro…
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Today we’re joined by Victor Dibia, principal research software engineer at Microsoft Research, to explore the key trends and advancements in AI agents and multi-agent systems shaping 2025 and beyond. In this episode, we discuss the unique abilities that set AI agents apart from traditional software systems–reasoning, acting, communicating, and ada…
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Today, we're joined by Chris Lott, senior director of engineering at Qualcomm AI Research to discuss accelerating large language model inference. We explore the challenges presented by the LLM encoding and decoding (aka generation) and how these interact with various hardware constraints such as FLOPS, memory footprint and memory bandwidth to limit…
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Today, we're joined by Patricia Thaine, co-founder and CEO of Private AI to discuss techniques for ensuring privacy, data minimization, and compliance when using 3rd-party large language models (LLMs) and other AI services. We explore the risks of data leakage from LLMs and embeddings, the complexities of identifying and redacting personal informat…
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